Nighttime Sugar Starvation Orchestrates Gibberellin Biosynthesis

The Plant Cell, Vol. 25: 3760–3769, October 2013, www.plantcell.org ã 2013 American Society of Plant Biologists. All rights reserved.
Nighttime Sugar Starvation Orchestrates Gibberellin
Biosynthesis and Plant Growth in Arabidopsis
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Eleonora Paparelli,a Sandro Parlanti,a Silvia Gonzali,a Giacomo Novi,a Lorenzo Mariotti,b Nello Ceccarelli,b
Joost T. van Dongen,c Katharina Kölling,d Samuel C. Zeeman,d and Pierdomenico Perataa,1
a PlantLab,
Institute of Life Sciences, Scuola Superiore Sant’Anna, Pisa 56127, Italy
of Biology, University of Pisa, Pisa 56124, Italy
c Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany
d Institute of Agricultural Sciences, ETH Zurich, CH-8092 Zurich, Switzerland
b Department
ORCID IDs: 0000-0002-7256-9314 (E.P.); 0000-0002-9875-7401 (S.P.); 0000-0001-9703-3826 (S.G.); 0000-0003-4113-6345 (G.N.);
0000-0002-3152-1867 (L.M.); 0000-0003-0767-4983 (N.C.); 0000-0001-7944-9289 (J.T.v.D.); 0000-0001-9444-0610 (P.P.).
A plant’s eventual size depends on the integration of its genetic program with environmental cues, which vary on a daily basis.
Both efficient carbon metabolism and the plant hormone gibberellin are required to guarantee optimal plant growth. Yet, little
is known about the interplay between carbon metabolism and gibberellins that modulates plant growth. Here, we show that
sugar starvation in Arabidopsis thaliana arising from inefficient starch metabolism at night strongly reduces the expression of
ent-kaurene synthase, a key regulatory enzyme for gibberellin synthesis, the following day. Our results demonstrate that
plants integrate the efficiency of photosynthesis over a period of days, which is transduced into a daily rate of gibberellin
biosynthesis. This enables a plant to grow to a size that is compatible with its environment.
INTRODUCTION
Phenotypic plasticity is the capacity of an organism to change
its phenotype to adapt to environmental changes (Nicotra et al.,
2010). Plants are sessile organisms that cannot escape a fluctuating environment that affects metabolic processes such as
photosynthesis (Wiese et al., 2007; Graf et al., 2010; Alter et al.,
2012) and, consequently, their phenotypes. Seminal studies have
highlighted that internal signals such as hormones also have
a massive impact on plant growth and development (Yamaguchi,
2008; Davies, 2010). Plant hormone–driven growth is also of primary importance in practical applications. The introduction of
stem-dwarfing traits into cereal crops (i.e., wheat [Triticum aestivum]
and rice [Oryza sativa]) improved plant architecture and allowed
greater allocation of resources to the grain. This was a key step
in the spectacular increases in food production obtained since
the 1960s and known as the Green Revolution (Hedden, 2003;
Sakamoto and Matsuoka, 2004). Identification of the genes responsible for dwarfism in cereal crops showed that most genes
relate to regulating the physiology of gibberellins (GAs), a class
of plant hormones (Peng et al., 1999; Hedden, 2003).
GA biosynthesis is mostly controlled by a homeostatic mechanism based on the negative feedback regulation of GA 20-oxidase
(GA20ox) and GA 3-oxidase (GA3ox), both involved in the synthesis of bioactive GAs, and activation of the GA 2-oxidases,
which convert bioactive GAs to inactive forms (Yamaguchi, 2008).
1 Address
correspondence to [email protected].
The author responsible for distribution of materials integral to the findings
presented in this article in accordance with the policy described in the
Instructions for Authors (www.plantcell.org) is: Pierdomenico Perata (p.
[email protected]).
W
Online version contains Web-only data.
www.plantcell.org/cgi/doi/10.1105/tpc.113.115519
Arabidopsis thaliana mutants that are defective in either GA
synthesis or signaling are dwarf (Yamaguchi, 2008; Hedden and
Thomas, 2012), whereas overexpression of the GA biosynthesis
enzyme GA20ox results in increased leaf size (Gonzalez et al.,
2010), indicating that this trait is strongly influenced by GAs.
Besides plant hormones, such as GAs, growth inevitably depends on the efficiency of the plant’s primary metabolism. Plants
are exposed to the alternation between night and day and variable light levels. During the day, photosynthesis provides sugars
that are partitioned among growth and metabolic processes, and
storage as transitory starch in the leaves. During the night, starch
is degraded through a circadian clock–regulated pathway (Graf
et al., 2010) to fuel continued growth (Wiese et al., 2007). The
synthesis of transitory starch is of great importance for growth
and Arabidopsis mutants defective in either starch synthesis or
degradation are dwarf (Caspar et al., 1985, 1991; Lin et al., 1988a,
1988b; Yu et al., 2001; Schneider et al., 2002; Niittylä et al., 2004;
Stitt and Zeeman, 2012).
Nutrient sensing and hormonal signaling are interconnected in
plants (Krouk et al., 2011), but little is known about whether or
how the growth-promoting roles of photosynthesis and plant
hormones are integrated. Exposure to elevated carbon dioxide
(CO2) enhances growth and results in a significant increase in
sugar and starch content in Arabidopsis leaves (Teng et al., 2006).
Remarkably, exposure to higher CO2 levels also increases the GA
content, suggesting a link between the effects of higher CO2 on
photosynthesis, starch, and the production of GAs (Teng et al.,
2006). However, this view was recently challenged by evidence
suggesting that growth induced by exposure to elevated CO2 is at
least partly uncoupled from the effect of GAs (Ribeiro et al., 2012).
Here, we show that carbohydrates produced by photosynthesis modulate the synthesis of GAs and that it is also through
this mechanism that plant size is determined. We found that in
Sugar Starvation, Gibberellins, and Growth
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order to modulate hormone-driven growth, plants exploit the
metabolism of starch at night as a reliable measure of how efficient photosynthesis was the previous day. The synthesis of GAs
and growth was shown to be dampened when sugar starvation
resulted from inefficient metabolism of starch at night. Our results
demonstrate that plants integrate the efficiency of photosynthesis
over a period of days and transduce that information into a daily
rate of GA synthesis. This enables a plant to grow to a size that is
compatible with the environment where it lives.
RESULTS
The Dwarf Phenotype of Starch Mutants Can Be Reverted by
Exogenous GAs
Arabidopsis growth during the day mostly relies on sugars produced by photosynthesis, while growth at night is fueled by the
mobilization of transitory leaf starch (Wiese et al., 2007; Graf et al.,
2010). Arabidopsis mutants (Caspar et al., 1985, 1991; Lin et al.,
1988a, 1988b; Yu et al., 2001; Stitt and Zeeman, 2012) defective
in either starch synthesis (phosphoglucomutase [pgm] and ADP
glucose phosphorylase1 [adg1-1]) or degradation (starch excess1
[sex1-1], starch excess4 [sex4-3], like sex four [lsf1-1]) are dwarf,
and flowering is delayed (Figures 1A and 1B; see Supplemental
Figures 1A to 1D and Supplemental Table 1 online). Similar traits
have also been observed in mutants defective in GA synthesis or
signaling (Wilson et al., 1992; Graf et al., 2010; Hedden and
Thomas, 2012). This prompted us to test whether the dwarfism of
starch mutants could be reverted by exogenously applying GAs.
Unexpectedly, GA-treated starch mutants responded by growing
to a size that, in several cases, was close to the wild type (Figures
1B and 1C). Exogenous GAs supplied to pgm and sex1-1 increased fresh weight, but not dry weight (see Supplemental
Figures 1E and 1F online), indicating that GAs boosted leaf
elongation alone, without rescuing the defective carbon metabolism in the mutants. This conclusion was supported by the
measurement of photosynthetic rate, which was unaffected by
the GA treatment (see Supplemental Figure 2 online).
We then wanted to know whether leaf expansion boosted by
exogenous GAs (Figures 1B and 1C) had an impact on carbon
allocation, and we found that GA treatment had a negligible
effect on the wild type (see Supplemental Figure 3A online).
However, in pgm, GAs significantly reduced Glc and Suc levels
(see Supplemental Figure 3A online), suggesting a higher use of
these carbohydrates to fuel GA-induced leaf expansion during
the day (Wiese et al., 2007). In sex1-1, GA treatment caused
a reduction in the level of starch that was only slightly compensated for by an increase in sucrose and fructose (see
Supplemental Figure 3A online), indicating a diversion of photosynthates to fuel GA-dependent growth and not starch synthesis. We found that the GA effect on carbohydrate partitioning
enhanced the expression of four starvation-related genes (see
Supplemental Figure 3B online; Gonzali et al., 2006; Usadel et al.,
2008). This thus indicates that both pgm and sex1-1 suffered
from severe starvation when treated with GAs, as a result of the
increased growth rates that apparently exceeded the amount of
carbohydrates available.
Figure 1. GAs Rescue the Dwarf Phenotype of Starch Mutants to
a Large Extent.
(A) Representative growth phenotypes of wild-type (Col-0), pgm, and
sex1-1 plants from 14 to 35 d after germination. Bar = 1.5 cm.
(B) Effect of GA4+7 application on growth of wild-type (Col-0), pgm, adg1-1,
sex1-1, sex4-3, and lsf1-1 plants.
(C) Rosette size of Col-0 and mutants in absence (2GA4+7) or presence
(+GA4+7) of 10 µM GA4+7. Data are mean values of 10 replicates 6 SD
(two-way analysis of variance; ***P < 0.001).
GA Synthesis Is Dampened in Mutants Defective in Starch
Synthesis or Degradation
The ability of GAs to rescue the dwarfism of starch mutants
suggested that they may be defective in the synthesis of these
hormones, a hypothesis that was confirmed by the experiments
described here. GAs are synthesized from geranylgeranyl diphosphate via a multistep process (Figure 2A) (Olszewski et al.,
2002; Yamaguchi, 2006; Graf et al., 2010; Hedden and Thomas,
2012) regulated by both developmental and environmental stimuli
(Hedden and Thomas, 2012). Reductions in the expression of
copalyl diphosphate synthase and ent-kaurene oxidase were observed in pgm and sex1-1, while the diurnal expression of GA20ox1
(At4g25420), which is under circadian control (Hisamatsu et al.,
2005), was unaffected. GA3ox1 (At1g15550) expression was also
largely unaffected (Figure 2B). The expression level of other GA20ox
and GA3ox genes was not significantly changed compared with the
wild type (see Supplemental Figures 4A and 4B online).
The expression of ent-kaurene synthase (KS) during the diurnal cycle had a distinct pattern, which peaked in the afternoon.
Strikingly, this peak was absent in both pgm and sex1-1 (Figure
2B). The increased expression of KS in the afternoon correlates
well with higher levels of ent-kaurene in the wild type at the end
of the day (Figure 2C), and, remarkably, the level of GAs also
was higher at the end of the day (see Supplemental Figure 5 and
Supplemental Table 2 online). Lower kaurene content, on the
other hand, was detected in pgm and sex1-1, which was consistent with their lower KS expression (Figure 2C). Profiling of GA
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online), this was not the case in pgm and sex1-1 (see Supplemental
Figure 6 online).
Fleet et al. (2003) showed that plants are able to maintain GA
homeostasis and normal morphology even when KS expression
is greatly increased. In order to verify if a decreased expression
of KS similar to that observed in starch mutants would result in
reduced plant size, KS RNA interference (RNAi) lines (hereafter,
KSi) were studied. All of the KSi lines showed a dwarf phenotype, in some cases similar to that of pgm and sex1-1 (Figure 3A;
see Supplemental Figure 7A online). A significant reduction in
KS expression was observed in the KSi plants (see Supplemental
Figure 7B online), correlating with the rosette diameter (Figure 3B),
thus indicating that decreased KS expression to the level observed in pgm and sex1-1 results in a comparable reduction in
rosette size.
Sugar Starvation at Night Influences KS Expression
and Growth
Our next question was whether the lower GA level observed in
starch mutants was related to the altered nighttime carbohydrate metabolism, which has been shown to be typical for these
mutants (Streb and Zeeman, 2012). The starchless mutants pgm
and adg1-1 (Figure 4A) showed expression of the typical marker
for sugar starvation (dark inducible6 [DIN6]; Gonzali et al., 2006;
Usadel et al., 2008) during the night (Figure 4B) and negligible
expression of KS the following day. Sugar starvation at night
was confirmed by other starvation-induced markers, such as
At1g76410 and trehalose 6-P synthase (see Supplemental Figures
8A and 8B online). Starch degradation downstream of SEX1 involves SEX4 and LSF1 (Figure 4A). Both sex1-1 and sex4-3 show
reduced sugar content at night (Caspar et al., 1991; Zeeman and
Figure 2. Alterations in Starch Metabolism Affect GA Biosynthesis.
(A) Pathways of GA synthesis in Arabidopsis. The enzymes involved are
ent-copalyl diphosphate (CPS), ent-kaurene synthase (KS), ent-kaurene
oxidase (KO), ent-kaurenoic acid oxidase (KAO), GA20-oxidase
(GA20ox), GA3-oxidase (GA3ox), and GA2-oxidase (GA2ox).
(B) Diurnal changes in the relative expression levels of genes involved in
the GA biosynthetic pathway in Col-0, pgm, and sex1-1 plants grown
under a 12-h-light/12-h-dark photoperiod. Expression levels are expressed as relative units assuming as unitary the value of the wild type
(Col-0) at the beginning of the day (0 h). Yellow background, day; gray
background, night.
(C) Endogenous level of ent-kaurene (ng g21 fresh weight [FW]) in Col-0,
pgm, and sex1-1 at the end of night (8 AM) and day (8 PM). Asterisks
indicate significant differences from the wild type (two-way analysis of
variance; **P < 0.01 and ***P < 0.001).
(D) Level of GAs (ng g21 fresh weight) in Col-0, pgm, and sex1-1 at the
end of day (8 PM). Values are means (6SD) of three independent replicates.
Figure 3. Reduction in KS Expression Level in RNAi Knockdown Lines
Results in Decreased Rosette Diameter.
levels revealed a reduced metabolic flow to biologically active
GAs (Yamaguchi, 2008; Hedden and Thomas, 2012), especially
GA4 and GA7, in both pgm and sex1-1 (Figure 2D; see Supplemental
Table 3 online). Whereas the GA4 level significantly increased at
the end of day in the wild type (see Supplemental Figures 5 and 6
(A) Representative growth phenotypes of 4-week-old Col-0 (WT) and
selected KSi lines and pgm and sex1-1 plants. Bar = 1.5 cm.
(B) Correlation between the rosette diameter (y axis) and KS expression
levels (x axis) of wild-type Col-0 (green symbols), KSi knockdown lines
(closed symbols), pgm (red symbol), and sex1-1 (blue symbol) mutants.
For pictures and transcript levels of the complete set of plants, see
Supplemental Figure 7 online.
Sugar Starvation, Gibberellins, and Growth
3763
ap Rees, 1999), induction of the sugar starvation marker at night,
and reduced KS expression the next day (Figure 4C). In lsf1-1,
which has the least severe starch-excess phenotype of the mutants studied (Comparot-Moss et al., 2010), KS expression was
the closest to the wild-type expression (Figure 4C). In order to
gain direct evidence linking night starvation to the regulation of
KS, we sprayed Suc on the leaves of pgm and sex1-1 during the
night. Interestingly, the Suc treatment restored the peak of KS
expression the following day (Figures 4D and 4E). The same
result was obtained using the adg1-1 mutant (see Supplemental
Figure 4. Relationship between Night Starvation and Expression of KS
during the Following Light Period.
(A) Pathway of starch synthesis and degradation in Arabidopsis leaves.
The enzymatic steps affected by each mutation are indicated.
(B) and (C) Comparisons of the expression of KS and the starvation
reporter gene (DIN6) in Col-0 and starch mutants analyzed in a 12-hlight/12-h-dark photoperiod (gray/yellow background corresponds to
night/day). The relative expression level (REL) at the end of night of the
wild type (Col-0) was set to 1.
(D) and (E) Transcript levels of KS in Col-0, sex1-1 (D), and pgm (E)
mutants treated with 1% Suc starting 13 h before dawn (closed symbols). Control plants (open symbols) were sprayed with water. The relative expression level at the end of night of the wild type (Col-0) was set
to 1.
Values are means (6SD) of three replicates from a single experiment. An
independent experiment gave comparable results.
Figure 5. Higher Light Intensity Reduces Starvation Symptoms at Night
and Restores KS Expression.
(A) Phenotype of Col-0, pgm, and sex1-1 plants at 100 or 200 µmol
m22 s21 light intensity.
(B) Transcript levels of KS and DIN6 in Col-0, pgm, and sex1-1 plants at
100 or 200 µmol m22 s21 light intensity. The relative expression level
(REL) at the end of night (hour 8) of the wild type (Col-0) was set to 1.
(C) Level of GAs (ng g21 fresh weight [FW]) in Col-0, pgm, and sex1-1
grown at 200 µmol m22 s21 light intensity at the end of day (8 PM).
Values are means (6SD) of three independent replicates.
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Figure 6. KS Expression Is Adjusted to Unexpected Changes in Light
Intensity during the Previous Day.
(A) Col-0 plants grown in a 12-h-light/12-h-dark photoperiod at 100 µmol
m22 s21 light intensity were used as controls. D, day; N, night.
(B) Another group of plants was subjected to a 12-h treatment at
low-light intensity (10 µmol m22 s21; light-gray background) and then
transferred to normal light intensity (yellow background). DIN6, KS,
GA20ox, EXP10, and EXP1 expression analysis over 3 d was performed.
Expression in the control set of plants (A) at time 0 was set to 1. Pictures
show Lugol’s staining of a representative plant at the end of the first day.
Figure 9 online). This further supports the idea that sugar starvation at night triggers the downregulation of KS during the following light period.
When grown at twice the normal light intensity, both pgm and
sex1-1 reached a size close to that of the wild type (Figure 5A).
Although the amount of carbohydrates was unchanged in pgm
and sex1-1 (see Supplemental Figure 10A online), the level of
starvation was lower in these plants when grown at 200 mmol
m2 s21 (Figure 5B; see Supplemental Figure 10B online), and the
afternoon peak of KS expression was present (Figure 5B). Since
we can exclude that the metabolism of carbohydrates at night
can be improved in pgm and sex1-1 by growing these mutants
at higher light intensity, it is tempting to speculate that autophagy at night is responsible for the lower starvation at night
observed in plants grown at 200 mmol m2 s21. Indeed, autophagy
ameliorates the night energy status of pgm (Izumi et al., 2013).
Consistent with the reduced dwarfism in pgm and sex1-1 plants
grown at 200 mmol m2 s21 (Figure 5A), no significant differences
were found in the GA content of wild-type, pgm, and sex1-1
plants at the end of the day (Figure 5C), and only a moderately
lower GA level was detected in pgm and sex1-1 at the end of the
night (see Supplemental Figures 11A and 11B online).
So, was the altered KS expression pattern unique to starch
mutants, or might it also be observed in wild-type plants experiencing night starvation? To examine this, we kept a batch of
wild-type plants under normal day/night conditions (Figure 6A),
while a second batch of plants was exposed to low light for 1 d,
followed by two additional days under normal day/night conditions (Figure 6B). The low light treatment resulted in low starch
content at the end of the first day, together with high expression
of the sugar starvation marker (Figure 6B; see Supplemental
Figures 12A and 12B online). Over the next 2 d, starch synthesis
resumed and the expression of the marker for sugar starvation
was consequently low (Figure 6B). In line with what we observed
in starch mutants, while KS expression was unaffected during
the day under low light, the afternoon peak of KS expression was
lost during the second day but resumed the third day (Figure 6B).
The expression pattern of GA20ox, on the other hand, was unaffected by the low light over the 3 d (Figure 6B), which is in
agreement with the absence of GA20ox downregulation in starch
mutants (Figure 2B). Remarkably, leaf elongation at night (Figures
6C and 6D) was reduced during the second night in low-lighttreated plants. Collectively, the results indicate that (1) low starch
synthesis during the day was unable to modulate KS expression
on the same day, (2) abnormal starch metabolism during the
night, leading to sugar starvation, affected the expression of KS
the following day, and (3) only after one night with normal starch
metabolism was the KS afternoon peak of expression restored.
The next step was to explore whether the low expression of
KS the day after a night starvation event would affect the expression of GA-regulated genes. We found that EXP10, an expansin that modulates leaf growth (Cho and Cosgrove, 2000),
(C) and (D) Leaf elongation under the experimental conditions described
in (A) and (B), respectively.
Values are means (6SD) of three replicates from two independent
experiments.
Sugar Starvation, Gibberellins, and Growth
was upregulated by GAs (see Supplemental Figure 13A online)
and displayed a diurnal expression peak at the end of the day
(Figure 6A). Although EXP10 was not expressed when the KS
expression peak was abolished following a night starvation event
(Figure 6B), interestingly it was restored the next day. Similar
behavior was observed for EXP1, a GA-induced expansin (see
Supplemental Figure 13B online) expressed in stomatal guard
cells (Zhang et al., 2011), whose expression rose rapidly each
night (Figure 6A). In plants that were exposed to low light for just
1 d, EXP1 expression was severely dampened the night immediately following the period when there had been no KS expression peak (Figure 6B). This indicates that the consequences
of low-light treatment are delayed in terms of their impact on KS
expression, as was to be expected.
DISCUSSION
Plant growth depends on sugars produced by photosynthesis.
These sugars provide cells with energy through respiration along
with the metabolic intermediates used to build up biomass. Mineral nutrients are also required to sustain growth (Sinclair, 1992),
providing structural elements for macromolecule synthesis, such
as proteins and nucleic acids. Both sugars and mineral nutrients
also act as signaling molecules that modulate plant development
(Rolland et al., 2006; Schachtman and Shin, 2007). In addition,
plant growth is driven by hormones and, regardless of the efficiency of photosynthesis and mineral nutrition, plants that are
deficient in growth-promoting hormones show dwarfism or other
severe developmental defects (Davies, 2010). However, how the
plant integrates signaling from carbohydrates and nutrients with
the hormonal regulation of plant growth is still largely unknown.
The amount of starch a plant can accumulate in the leaves is
a direct consequence of how efficient photosynthesis is in the
overall growth environment. Our results indicate that nighttime
sugar starvation, arising from defective starch metabolism, orchestrates GA metabolism in plants to ensure that growth-related processes proceed with an adequate carbon supply. Our experiments
revealed the existence of a clear diurnal regulation of KS (Figure 2B),
resulting in enhanced ent-kaurene and GA synthesis at the end of
the day (Figures 2C and 2D; see Supplemental Figures 5 and 6
online). In line with this, the rate of auxin biosynthesis at the end of
the day has also been shown to be twice that at the beginning of
the day (Sairanen et al., 2012). Sugars upregulate auxin biosynthesis (Sairanen et al., 2012), indicating that the synthesis of
growth hormones depends on the availability of sugars in order to
be able to coordinate growth. Attempting hormone-driven growth
at a rate exceeding carbon availability is maladaptive and results
in severe starvation symptoms (see Supplemental Figure 3B online).
It is thus tempting to speculate that plants reset hormone-driven
growth to a pace that is compatible with their carbon resources
when photosynthesis is unable to meet the requirements for a
normal growth rate.
A low amount of starch at night or the inability to use it results
in reduced GA synthesis (Figure 2). The signaling event(s) modulating the synthesis of GAs originate during the previous night
and are based on the level of starvation experienced by the plant.
The fact that KS expression inversely correlates with the expression
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of starvation-induced genes but not with sugar content itself
indicates that the signaling mechanism regulating KS expression
relies on the overall nighttime carbon starvation, which is the result
of both starch availability and autophagy, as recently demonstrated (Izumi et al., 2013). This starvation-dependent repression
of GA-triggered growth is in line with the model proposed by
Stitt and Zeeman (2012) for the coordination of starch breakdown and growth at night, extending the mechanisms linking
starch to growth to hormonal regulation. Furthermore, Bläsing
et al. (2005) highlighted the importance of responses to sugar
starvation rather than to high levels in diurnal gene regulation in
the light. Lunn et al. (2006) demonstrated that a greater reserve
of starch is accumulated when its supply was insufficient during
the previous night, in agreement with the idea of a day-by-day
adjustment of metabolism to avoid an imbalance between starch
availability and its use to fuel growth. If at night starch is unable to
meet the requirements for growth, such as in genotypes that are
defective in starch metabolism (Figure 4) or after a day under low
light (Figure 6), sugar starvation can be severe and the daily peak
of KS expression is abolished, thus reducing the GA level and leaf
elongation.
The availability and daily fluctuation in sugar levels are likely to
contribute to the array of signals required to ensure the rhythmic
growth of plants (Todd et al., 2008). The circadian clock controls
starch degradation (Graf et al., 2010) and regulates the transcription of GA receptors, resulting in a higher stability of DELLA
proteins during the day and a higher GA sensitivity at night
(Arana et al., 2011). This, together with higher GA levels at the
end of the day (see Supplemental Figure 5 online) guarantees
that growth takes place predominantly at night (peaking at dusk)
(Wiese et al., 2007; Todd et al., 2008). At night, carbohydrates
are available only if an adequate level of transitory starch was
produced the previous day. Indeed, the growth phase of the
starch-free1 mutant (which is basically equivalent to pgm) was
shifted compared with the wild type, with reduced nocturnal and
increased afternoon growth activity (Wiese et al., 2007). This
indicates that sugar availability, which is very high in the afternoon but very low at night in lsf1-1 and pgm, overrides the
hormonal-dependent temporal growth pattern. We explain this
Figure 7. Model Depicting the Regulation of Growth by Sugar Starvation
and GAs.
Growth at night requires both the presence of transitory starch and the
synthesis of GAs. Should photosynthesis be unable to provide enough
starch to support growth at night, a starvation signal will be generated
that downregulates the synthesis of GAs the next day to balance the
hormone-driven growth with the lower carbon availability.
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by the starvation-dependent reduction of GA synthesis in pgm
(Figure 2D), which prevents an otherwise prevailing growthpromoting period at night.
The evidence that sugar availability affects both auxin (Sairanen
et al., 2012) and GA biosynthesis (as outlined in this work) suggests that carbon allocation is key to ensuring a growth pattern
that is suited to the plant’s environment. This also implies the
need to ensure an adequate balance between root and shoot
growth. Nutrients such as nitrate and phosphate influence root
architecture. Nitrate induces root branching by modifying auxin
distribution (Krouk et al., 2010), which is likely to result in the
allocation of more sugars to the root system. Likewise, plants
that suffer phosphorus starvation respond by simultaneously reducing shoot growth, through a reduction in bioactive GA level,
and increasing root proliferation (Jiang et al., 2007). Further work
is required to examine the extent of the regulatory network connecting shoot/root growth and fluctuating environmental conditions through a carbohydrate-dependent signaling pathway
that modulates hormonal responses.
We have provided evidence for a model that describes plant
growth (Figure 7) based on the efficiency of starch metabolism
at night, taken as an integrator of photosynthesis activity from
the previous day. A low rate of starch metabolism at night signals unfavorable growth conditions to which the next day’s GA
syntheses adapt. This enables diurnal changes in carbon availability at night and growth responses to be integrated, over several
days, in order to reach the most suitable growth rate for the environment inhabited by the plant, without excessive sensitivity to
short-term environmental fluctuations.
METHODS
Plant Material
Experiments were performed using Arabidopsis thaliana accession
Columbia-0 (Col-0) and its mutants, pgm (Caspar et al., 1985), sex1-1
(Caspar et al., 1991; Yu et al., 2001; Ritte et al., 2002), adg1-1 (Lin et al.,
1988a, 1988b; Wang et al., 1998), sex4-3 (Zeeman and ap Rees, 1999;
Kötting et al., 2009), and lsf1-1 (Comparot-Moss et al., 2010). Col-0 (N1093)
seeds and seeds of the mutated lines pgm (N210), adg1-1 (N3094), and
sex1-1 (N3093) were obtained from the Nottingham Arabidopsis Stock
Centre (http://nasc.nott.ac.uk/home.html). The other mutants were kindly
provided by Martin Steup (Institute of Biochemistry and Biology, University
of Potsdam, Germany). In most experiments, plants were grown using
a hydroponic system (Gibeaut et al., 1997). Seeds were stratified at 4°C in
the dark for 48 h and germinated at 22°C day/18°C night with a 12-h
photoperiod. The quantum irradiance was 100 µmol photons m22 s21,
unless otherwise stated. Measurements of the size of rosettes and leaf
elongation were taken using a caliber measure tool. Leaf (blade and petiole)
elongation rate (%) was calculated by measuring the same leaves (intermediate length) at 8 AM and 8 PM. The percentage of elongation rate is
calculated by setting at 100 the starting length (e.g., 8 AM) and subtracting
the length at the end point (e.g., at 8 PM; expressed as a percentage of that
of the starting point). A total of 55 leaves were monitored for each of the
two experimental conditions described in Figures 6C and 6D.
Total RNA Extraction and Quantitative PCR
RNA extraction, removal of genomic DNA, cDNA synthesis, and quantitative RT-PCR analyses were performed as described previously (Paparelli
et al., 2012). GAPDH and 40SrRNA were used as reference genes. Three
replicates for each experiment were used, and the average expression
value was calculated. For a list of the primers used and designed using
QuantPrime (http://quantprime.mpimp-golm.mpg.de/; Arvidsson et al., 2008),
see Supplemental Table 4 online.
Application of Exogenous GA
The effect of GAs on starch mutants and Col-0 plants was tested by
applying 5 mL of a solution of 10 µM GA4+7 onto the shoot apex. The GA4+7
was dissolved with drops of ethanol in distilled water. Control plants were
treated with an equal volume of ethanol. The treatment was started 3 weeks
after germination and repeated every 3 d. After 2 weeks of treatment,
rosette size was measured and transcript levels were analyzed.
Screening of KSi Transgenic Lines
RNAi knockdown mutants using the pAGRIKOLA system (Hilson et al.,
2004) were used. Col-0 transformants with the pAGRIKOLA construct for
At1g79460 (KS) were obtained from the Nottingham Arabidopsis Stock
Centre (N291353 or CATMA1a68545). This set of seeds is a mix of wildtype Col-0, heterozygotes, and homozygotes for the RNAi construct. To
select plants that contain the RNAi construct, the specific gene sequence
tag fragment (324 bp) was amplified by PCR on genomic DNA with primers
for pAGRIKOLA (for a list of the primers used, see Supplemental Table 5
online). The KS expression in the wild type and in the positive transgenic
lines was measured by quantitative RT-PCR analyses, collecting samples
at the time of KS afternoon expression peak.
Quantitative Analysis of Endogenous GA
Approximately 3 to 5 g of 30-d-old Col-0, pgm, and sex1-1 rosettes,
collected at the end of the light phase, were extracted and purified as
previously described (Mariotti et al., 2011). The material was homogenized
in cold 80% (v/v) methanol using a mortar and pestle. Fifty nanograms
of deuterated GAs ([17,17-2H2]-GA9, [17,17-2H2]-GA4, [17,17-2H2]-GA34,
[17,17-2H2]-GA7, [17,17-2H2]-GA19, [17,17-2H2]-GA20, [17,17-2H2]-GA29,
[17,17-2H2]-GA1, [17,17-2H2]-GA8, [17,17-2H2]-GA3, and [17,17-2H2]-GA5)
were added as internal standards to account for purification losses. Methanol
was evaporated under a vacuum at 35°C, and the aqueous phase was
partitioned against ethyl acetate, after adjusting the pH to 2.8. The extracts were dried and resuspended in 0.3 to 0.5 mL of distilled water with
0.01% acetic acid and 10% methanol. HPLC analysis was performed with
a Kontron instrument equipped with a UV absorbance detector operating
at 214 nm, while the gas chromatography–tandem mass spectrometry
analysis was performed on a Saturn 2200 quadruple ion trap mass spectrometer coupled to a CP-3800 gas chromatograph (Varian Analytical Instruments) equipped with a MEGA snc (http://www.mega.mi.it) 1MS capillary
column (30 m 3 0.25-mm i.d. and 0.25-µm film thickness) as described
(Fambrini et al., 2011). GAs were identified by comparing the full mass
spectra with those of the authentic compounds. Quantification was performed with reference to standard plots of concentration ratios versus ion
ratios, obtained by analyzing known mixtures of unlabeled and labeled GAs.
Analysis of Endogenous ent-Kaurene
Approximately 3 to 5 g of 30-d-old plants, collected at the end of the light
and dark phases, were homogenized in cold 80% (v/v) methanol. One
hundred nanograms of deuterated kaurene ([17,17-2H2]-kaurene) was
added as an internal standard. Methanol was evaporated under N2 flow,
and the aqueous phase was partitioned against hexane. The extracts
were dried under N2 and resuspended in 0.3 to 0.5 mL of water with 0.01%
(v/v) acetic acid and 90% (v/v) acetonitrile. HPLC analysis was performed
as described above. The fraction corresponding to the elution volume of
Sugar Starvation, Gibberellins, and Growth
standard kaurene was analyzed with gas chromatography–tandem mass
spectrometry as previously outlined (Fambrini et al., 2011).
Extraction and Analysis of Carbohydrates
Four-week-old rosettes with a fresh weight of 300 to 500 mg were harvested
rapidly into liquid N2. Frozen samples were homogenized then extracted in
perchloric acid, as previously described (Paparelli et al., 2012). Glc, Suc, Fru,
and starch were measured enzymatically on the neutralized supernatant
(soluble sugars) (Guglielminetti et al., 1995) and the insoluble pellet (starch)
(Critchley et al., 2001).
Qualitative Analysis of Leaf Starch Content by Lugol Staining
Rosettes of individual plants were harvested at the end of the light period
and boiled in 50 mL 80% (v/v) ethanol. Decolored plants were stained with
a fresh iodine solution (I2/KI [5 g KI and 0.5 g I2 in 500 mL of distilled water])
for 5 min, destained in water for 1 to 2 h, and photographed immediately.
Photosynthetic Gas Exchange Measurement
Gas exchange of whole rosettes was measured using a custom-built
multichamber system connected in parallel to an infrared gas analyzer
(Licor7000). Individual plants were introduced into each of the eight
chambers, and after an adaptation period of 2 d, the gas exchange was
measured for a complete 12-h-light/12-h-dark cycle. During the measurement, air with 380 ppm CO2 and a relative humidity of 65% was
channeled through the system with a flow rate of 200 µmol s21. Four
plants treated with GAs and four controls (each of the genotypes used,
without GA treatment) were measured in each run. Each chamber was
measured consecutively for 6 min, and the average value was taken for
the light and dark periods. At the end of the light period, a photograph was
taken to calculate the projected leaf area of each plant. Based on the
projected leaf area, photosynthetic and respiration rates were calculated
with the DCO2 and Dwater values gained from the gas exchange system.
Treatment with Suc
The effect of Suc on sex1-1 and Col-0 30-d-old plants was tested by
spraying a solution of 1% Suc (dissolved in water) directly on leaves twice
(at 7 PM and at midnight) during the night before the sampling. Control
plants were treated with an equal volume of water. Sampling was done
13 h after the beginning of the Suc treatment, starting at dawn, and every 2 h.
3767
Supplemental Figure 3. Exogenous GA Treatment Disrupts the Normal
Expression Pattern of Starvation Genes.
Supplemental Figure 4. Diurnal Changes in the Relative Expression
Levels of Genes Encoding Enzymes Involved in the Late Steps of GA
Biosynthesis (GA20oxs and GA3oxs) in Col-0, pgm, and sex1-1 Plants
Grown under a 12-h-Light/12-h-Dark Photoperiod.
Supplemental Figure 5. Level of GAs (ng g21 FW) in Col-0 at the End
of Night (8 AM) and End of Day (8 PM).
Supplemental Figure 6. Comparison of GA4 Content (ng g21 FW) in
Col-0, pgm, and sex1-1 at the End of Night (8 AM) and End of Day (8 PM).
Supplemental Figure 7. Screening of KSi Lines Grown in a 12-hLight/12-h-Dark Photoperiod.
Supplemental Figure 8. Altered Expression of Sugar Starvation
Marker Genes in Starch Mutants.
Supplemental Figure 9. Suc Supplementation in the adg1-1 Mutant
the Night before Restores the Afternoon KS Expression Peak the Day
After.
Supplemental Figure 10. Effect of Light Intensity on Soluble Sugar
Levels and on the Expression of Sugar Starvation Marker Genes in
Col-0, pgm, and sex1-1 Plants.
Supplemental Figure 11. Effect of Light Intensity on the GA Content
in Col-0, pgm, and sex1-1 Plants.
Supplemental Figure 12. Expression of Sugar Starvation Marker
Genes in Plants Exposed to Low-Light Intensity for 1 d.
Supplemental Figure 13. Expression of EXP10 and EXP1 Is Modulated by GAs.
Supplemental Table 1. List and Description of the Mutants Used in
This Work.
Supplemental Table 2. Levels of GAs (ng g21 FW) at the End of Night
and at the End of Day in Wild-Type Plants Grown at 100 µmol m22 s21
Irradiance.
Supplemental Table 3. Levels of GAs (ng g21 FW) at the End of Day in
Col-0, pgm, and sex1-1 Mutants.
Supplemental Table 4. Primers Used for Gene Expression Analysis
Using Real-Time Quantitative RT-PCR.
Supplemental Table 5. Primers Used to Test the Insertion in the
AGRIKOLA RNAi Lines.
Accession Numbers
Sequence data from this article can be found in the Arabidopsis Genome
Initiative or GenBank/EMBL databases under the following accession
numbers: At4g02780 (copalyl diphosphate synthase), At1g79460 (KS),
At5g25900 (ent-kaurene oxidase), At1g15550 (GA3ox1), At1g80340
(GA3ox2), At4g21690 (GA3ox3), At1g80330 (GA3ox4), At4g25420
(GA20ox1), At5g51810 (GA20ox2), At5g07200 (GA20ox3), At1g60980
(GA20ox4), At1g44090 (GA20ox5), At3g47340 (DIN6), At1g70290 (TPS8),
At1g76410, At3g59940, At1g26770 (EXP10), and At1g69530 (EXP1).
ACKNOWLEDGMENTS
We thank Alison M. Smith (John Innes Centre, UK), Martin Steup (University
of Potsdam, Germany), Elena Loreti (Consiglio Nazionale delle Ricerche,
Italy), and Francesco Licausi (Scuola Superiore Sant’Anna, Italy) for
invaluable discussions. S.C.Z. and K.K. gratefully acknowledge the
support of the SystemsX.ch initiative, Plant Growth in a Changing Environment. This research was financially supported by Scuola Superiore
Sant’Anna.
Supplemental Data
The following materials are available in the online version of this article.
Supplemental Figure 1. Phenotypes of pgm and sex1-1 Mutants Grown
in a 12-h-Light/12-h-Dark Photoperiod.
Supplemental Figure 2. Effect of GA Treatment on Photosynthesis,
Respiration, and Transpiration Rates in Leaves of Col-0, pgm, and
sex1-1 Plants.
AUTHOR CONTRIBUTIONS
E.P., S.G., J.T.v.D., S.C.Z., and P.P. designed the experiments. E.P., S.P.,
and G.N. performed the experiments. L.M. and N.C. carried out the GA
analysis. K.K. measured the photosynthetic gas exchange. E.P. and P.P.
wrote the article. All the authors discussed and commented on the content
of the article.
3768
The Plant Cell
Received June 27, 2013; revised August 26, 2013; accepted September
16, 2013; published October 4, 2013.
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Nighttime Sugar Starvation Orchestrates Gibberellin Biosynthesis and Plant Growth in
Arabidopsis
Eleonora Paparelli, Sandro Parlanti, Silvia Gonzali, Giacomo Novi, Lorenzo Mariotti, Nello Ceccarelli,
Joost T. van Dongen, Katharina Kölling, Samuel C. Zeeman and Pierdomenico Perata
Plant Cell 2013;25;3760-3769; originally published online October 4, 2013;
DOI 10.1105/tpc.113.115519
This information is current as of January 6, 2014
Supplemental Data
http://www.plantcell.org/content/suppl/2013/09/18/tpc.113.115519.DC1.html
References
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